Blunted reward prediction error signals in internet gaming disorder

心理学 互联网 均方预测误差 计算机科学 机器学习 万维网
作者
Wei Lei,Kezhi Liu,Guangxiang Chen,Serenella Tolomeo,Cuizhen Liu,Zhenlei Peng,Boya Liu,Xuemei Liang,Chaohua Huang,Bo Xiang,Jia Zhou,Fulin Zhao,Rongjun Yu,Jing Chen
出处
期刊:Psychological Medicine [Cambridge University Press]
卷期号:52 (11): 2124-2133 被引量:22
标识
DOI:10.1017/s003329172000402x
摘要

Abstract Background Internet gaming disorder (IGD) is a type of behavioural addictions. One of the key features of addiction is the excessive exposure to addictive objectives (e.g. drugs) reduces the sensitivity of the brain reward system to daily rewards (e.g. money). This is thought to be mediated via the signals expressed as dopaminergic reward prediction error (RPE). Emerging evidence highlights blunted RPE signals in drug addictions. However, no study has examined whether IGD also involves alterations in RPE signals that are observed in other types of addictions. Methods To fill this gap, we used functional magnetic resonance imaging data from 45 IGD and 42 healthy controls (HCs) during a reward-related prediction-error task and utilised a psychophysiological interaction (PPI) analysis to characterise the underlying neural correlates of RPE and related functional connectivity. Results Relative to HCs, IGD individuals showed impaired reinforcement learning, blunted RPE signals in multiple regions of the brain reward system, including the right caudate, left orbitofrontal cortex (OFC), and right dorsolateral prefrontal cortex (DLPFC). Moreover, the PPI analysis revealed a pattern of hyperconnectivity between the right caudate, right putamen, bilateral DLPFC, and right dorsal anterior cingulate cortex (dACC) in the IGD group. Finally, linear regression suggested that the connection between the right DLPFC and right dACC could significantly predict the variation of RPE signals in the left OFC. Conclusions These results highlight disrupted RPE signalling and hyperconnectivity between regions of the brain reward system in IGD. Reinforcement learning deficits may be crucial underlying characteristics of IGD pathophysiology.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
传奇3应助刘谦采纳,获得10
1秒前
1秒前
倾花酒完成签到,获得积分10
1秒前
1秒前
2秒前
hotdx完成签到,获得积分10
3秒前
3秒前
悦耳的万言完成签到,获得积分10
3秒前
3秒前
4秒前
coco发布了新的文献求助10
4秒前
夏至发布了新的文献求助10
4秒前
5秒前
烙饼发布了新的文献求助10
5秒前
花开富贵发布了新的文献求助10
5秒前
哈哈哈完成签到,获得积分10
6秒前
倾花酒发布了新的文献求助10
7秒前
大模型应助l_g采纳,获得10
7秒前
艺术家发布了新的文献求助20
8秒前
盛志孟完成签到,获得积分20
8秒前
9秒前
老二完成签到,获得积分10
9秒前
10秒前
饱满致远关注了科研通微信公众号
10秒前
Lucas应助科研狗采纳,获得10
11秒前
初景发布了新的文献求助10
11秒前
玄学小生完成签到,获得积分20
11秒前
微解感染完成签到,获得积分10
11秒前
沙里完成签到,获得积分20
12秒前
nn发布了新的文献求助10
12秒前
深情安青应助老大采纳,获得10
13秒前
赵一铭发布了新的文献求助10
13秒前
李健应助冰渊悬月采纳,获得10
15秒前
16秒前
情怀应助沙里采纳,获得10
16秒前
英姑应助学分采纳,获得10
17秒前
yanyanmi完成签到 ,获得积分10
17秒前
17秒前
小水完成签到 ,获得积分10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7758822
求助须知:如何正确求助?哪些是违规求助? 9304610
关于积分的说明 20282044
捐赠科研通 7342689
什么是DOI,文献DOI怎么找? 3312296
关于科研通互助平台的介绍 2462890
邀请新用户注册赠送积分活动 2326253